This project is made with data from the General Social Survey (GSS).
While the GSS is not a panel survey, it is both a very long-running survey (running regularly since 1972), a very long survey (completing it involves a 90 minute interview) and one with a large and diverse set of participants (approximately 1500 people per year). And while the survey contains very little demographic information about the respondents, both “age of respondent” and “year of survey” are included in the results. Because of this, some basic manipulation of the data gets it to a place where we can use birth year as a unit of analysis, and the data begins to resemble time-series data in the aggregate. What I am looking at today is how survey respondents who share or nearly share a year of birth have changed their answers to GSS questions over their life and the life of the survey.
For the sake of sample size, I condensed the data down in two ways:A screenshot of an excel sheet of sample sizes. Acceptably large cohorts are highlighted to demonstrate the ‘shape’ of the available data.
The motivating question for this project was initially this:
That’s the sort of thing that seems to be common knowledge, anyway, with the line “If you aren’t a liberal when you’re young, you have no heart, but if you aren’t a middle-aged conservative, you have no head” often being quoted (and misattributed to Winston Churchill) by conservatives. But in 2014 The Upshot blog at the New York Times presented a theory of “formative events” shaping the political beliefs of generations, which remain stable over time. Further, it could be that people’s views actually don’t change that much, but are perceived as more conservative to newer generations which are increasingly liberal.
To test this I took the five-year birth cohort bins and plotted the mean of their answers to the “Political Views” question, which indicates the respodent’s self-evaluated place on a seven point scale traveling between “Very Liberal” (1), “Moderate” (4) and “Very Conservative” (7). These evaluations are fairly coherent and consistent in terms of their meaning. The overall trend line is presented in black.
Well, that seems pretty straightforward, just looking at it.
Individuals are consistently self-reporting a greater rate of conservatism as the move further along in life. This likely means one of two things: One, people change their beliefs over time and actually do get more conservative, or two, somewhat less likely in my opinion, people as they get older perceive the world around them as shifting leftwards. That is, the same set of views that would have been called liberal in 1980 are conservative in 2010, and people holding those views recognize that.
But I did notice something interesting poking around this chart: the youngest age cohorts - as of the 2018 survey - are liberal compared to previous generations at the same age, and so far don’t seem to be trending leftwards Here’s the same data as above, presented as scatterplot and with the 2018 survey results highlighted:
Note: This is a static image.
While the respondents over the age of 40 are mostly in line with similarly-aged adults from previous surveys, respondents in their 30s are more liberal than any previous cohort, basically no different from the political leanings of (also relatively liberal) under-30 respondents. This brings me to the main two questions of this project:
This trend - a sustained and relatively wide political gap between two age cohorts, and an age cohort having little movement on the political spectrum - is best visualized by the below heatmap: darker colors for more conservative groups, lighter orange for more liberal groups.
How to read this plot: Moving across a single row shows how a birth-year group moved as they aged. Moving down a single column shows the political views of increasingly older groups within the same survey year.
For the most part, any given cohort’s political movement is gradual or a bit noisy, and usually is not too different from the immediately older or younger group; the gap between the current under-40 set and the current over-40 set is much more stark, and seems to have been going since about 2010. But today’s younger adults are not even the most self-reportedly liberal on record; that distinction goes to the generation born between 1945 and 1960, versus their slightly-older peers born before the end of WWII.
The older generations are consistently more conservative than the younger generations, but youngest generations over time are not equally liberal.The best evidence that the current under-40 set will eventually blend in with their elders is history: the gap between the early boomers and their immediate seniors would not have even been noticed if the GSS began asking the political views question in 1978 instead of 1974, and other than that the history of this question (and what is presented above) doesn’t promise much stability. In addition, I think The Upshot article linked above presents a better explanation than I can with my available data with regards to why individuals initially sort to a particular ideology, although the idea of a five-year-old having meaningful political leanings - which is what is implied by their visualizations - fundamentally ridiculous:
But one theory I am interested in investigating further within the GSS is the trend of life milestones being delayed compared to earlier generations. For example, marriage, which is understood to link to conservatism, has been happening later and later with more recent cohorts:
Nearly 50% of respondents born in the early 1950s had been married at least once by age 22, compared to approximately 7% of respondents born in the early 1990s at the same phase of life.The GSS also has collected useful statistics regarding homeownership since the late eighties; those numbers produce a similar, albeit less stark, pattern:
And considering we’re basically talking about indicators of income here anyway, here is where the 2018
Individuals between the ages of 20 and 35 are relatively broke, but 36-40 year olds - who fit the pattern described above - seem to be doing fine.
The early boomers were assimilating with their older peers by their early 30s; the oldest cohorts of the current trend (i.e., the oldest millennials) would be around ten years older than that if they began to follow the trend again in the 2020 GSS.
This “delay”